CN108885104A - interactive remote information processing system - Google Patents
interactive remote information processing system Download PDFInfo
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- CN108885104A CN108885104A CN201680072418.0A CN201680072418A CN108885104A CN 108885104 A CN108885104 A CN 108885104A CN 201680072418 A CN201680072418 A CN 201680072418A CN 108885104 A CN108885104 A CN 108885104A
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-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3461—Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3626—Details of the output of route guidance instructions
- G01C21/3661—Guidance output on an external device, e.g. car radio
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3691—Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2379—Updates performed during online database operations; commit processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Abstract
A kind of interactive remote information processing system identifies that one or more items optimize route in the following manner for user：The a plurality of potential route of identification from origin to destination；Calculate the attribute of every potential route in the potential route；User preference in the attribute and user profiles associated with the user of every potential route in the potential route is compared；One or more potential routes are selected by the comparison of attribute and user preference associated with the user based on every potential route in the potential route, identify that one or more items optimize route for user；And one or more items optimization route is output to communication network for transmission to remote equipment associated with the user.
Description
Cross reference to related applications
This application claims U.S. Provisional Patent Application the 62/266th, 420 priority submitted on December 11st, 2015,
Entire contents of the provisional application is incorporated herein by reference.
Background technique
Existing map system allows driver to select most fast or shortest route or avoids the route of charge or highway.But
It is that existing map system is not known according to the unique individualities of user and preference (or particular feature or limitation of user's vehicle)
Other best route.Some may prefer to travel on the road with lower rate limitation, such as pass through with limited driving
The young woman that goes through, the user with limited insurance range, usually travels together with baby at the user with traffic ticket history
User etc..Other users may be found in good condition with the highway for the multilane for allowing to travel at a relatively high speed such as relatively old
Male driver, often drive the veteran driver of expensive, all-wheel drive vehicle etc..Meanwhile each user is inclined
Good route may change according to the condition of road surface and/or weather conditions of dynamic change.In addition, certain roads may be to specific
Type of vehicle (such as truck) or the vehicle closure more than constant weight, or may include the vehicle for being more than certain altitude
For too low highway cross-over bridge.
Therefore, it is necessary to a kind of system, best route is identified for user based on unique preference of user, while being considered dynamic
The condition of road surface of state variation and current and/or prediction weather conditions.In addition, system needs unique category based on user's vehicle
Property or limitation to identify those best routes.
Summary of the invention
In order to overcome those of in the prior art and other shortcomings, a kind of interactive remote information processing system is provided,
It is that user identifies one or more item optimization routes in the following manner：Identification from origin to destination a plurality of can energy circuit
Line；Calculate the attribute of every potential route in the potential route；By the category of every potential route in the potential route
User preference in property and user profiles associated with the user is compared；By can based on every in the potential route
The comparison of the attribute and user preference associated with the user of energy route selects one or more potential routes, for user's knowledge
Not one or more items optimize route；And by one or more items optimization route be output to communication network for transmission to user
Associated remote equipment.
Detailed description of the invention
The aspect of exemplary embodiment is better understood with reference to the drawings.Component in figure is not drawn necessarily to scale,
On the contrary, it is preferred that emphasis is the principle of exemplary embodiment is shown, in the accompanying drawings：
Fig. 1 is to show the figure of the framework of interactive remote information processing system according to an exemplary embodiment of the present invention；
Fig. 2 is to show the block diagram of interactive remote information processing system according to an exemplary embodiment of the present invention；
Fig. 3 is to show the figure of three potential routes from origin to destination；
Fig. 4 is to show the figure of the 4th potential route from origin to destination；
Fig. 5 be show an exemplary embodiment of the present invention for determining that one or more items optimize routes for user
And these routes are exported to the flow chart of the process of user；
Fig. 6 is the flow chart for showing the process for updating user profiles of an exemplary embodiment of the present invention；With
And
Fig. 7 is to show the mistake according to an exemplary embodiment of the present invention updated for calculating the correlation of potential route attribute
The flow chart of journey.
Specific embodiment
Referring now to the attached drawing for the various views for showing exemplary embodiment of the present invention.In the attached drawing of this paper and to attached
In the description of figure, certain terms are used merely for convenient, but these terms are not interpreted as limiting the embodiment of the present invention.This
Outside, in the accompanying drawings and the description below, identical appended drawing reference always shows identical element.
Fig. 1 is the figure for showing the framework 100 of interactive remote information processing system according to an exemplary embodiment of the present invention.
As shown in Figure 1, framework 100 includes remote equipment 120, via one or more networks 130 and one or more
Multiple servers 140 and the communication of one or more storage equipment 150.As described in detail below, be configured as will be remote for system
Journey message processing information is output to remote equipment 120.
Remote equipment 120 includes being configured as via one or more networks 130 from one or more servers 140
Receive any suitable calculating equipment of information.Remote equipment may include such as smart phone, desktop computer, notebook electricity
Brain, in-vehicle navigation apparatus, self-contained navigation equipment etc..Each remote equipment 120 may include one or more processor (examples
Such as, central processing unit, graphics processing unit etc.), one or more storage equipment are (for example, random access memory, read-only
Memory, solid-state memory, hard disk etc.) and at least one input equipment (for example, keyboard, mouse etc.) and output equipment (example
Such as, display) or input-output equipment (for example, touch screen).Remote equipment 120 and/or network 130 can be for example using the whole world
Positioning system (GPS), Network Recognition, cellular network triangulation etc. determine at least some of remote equipment 120 equipment
Real time position.
One or more servers 140 may include executing instruction to execute any suitable of functions described herein
Calculate equipment.One or more servers 140 may include internal storage and one or more computer processors.One
A or more storage equipment 150 can also include non-transitory computer-readable storage media, such as hard disk, solid-state memory
Deng.Network 130 may include one or more short distances or teledata connection, make one or more servers 140
Can output information for transmission to remote equipment 120 (and receive from remote equipment 120 to information).Data connection may include having
Line and/or wireless data connection.Network 130 may include one or more local area networks or wide area network (for example, cellular network,
Internet).
In order to execute functions described herein, one or more servers 140 can receive information from third party source.
One or more servers 140 be can receive over and current traffic data 170.Can for example from (it is federal,
State and/or local) government organs, Automobile Associations's (for example, American Automobile Association) etc. receive past traffic data 170.It can be with
Such as the current traffic datas 170 of receptions such as tissue are managed from government organs, Private Traffic.
One or more servers 140 can receive static and or dynamic condition of road surface data 180.It can be such as
From government organs' (for example, federal, state and local traffic department, terrain information from US Geological Survey etc.), private friendship
Siphunculus manages tissue etc. and receives road status data.
One or more servers 140 can receive current, history and prediction weather data 190.It can be from
Third party receives weather data 190, and third party is, for example, AccuWeather Enterprise Solutions company, government's machine
Structure is (for example, Environmental Protection Agency USA (EPA), National Meteorological Bureau (NWS), The National Hurricane Center (NHC), Environment Canada, English
Weather bureau of state, Japan Meteorological Agency etc.), other private corporations (for example, the American National lightening detection network of Vaisalia,
Weather Decision Technologies company), personal (for example, member of Spotter Network) etc..
Fig. 2 is the block diagram for showing interactive remote information processing system 200 according to an exemplary embodiment of the present invention.
As shown in Fig. 2, interactive remote information processing system 200 includes analytical unit 230 and GIS-Geographic Information System (GIS)
232, user profiles database 240, transportation database 250 and device location database 260.Interactive remote information processing system
200 can also include traffic database 270, condition of road surface database 280 and weather condition data library 290.User profiles number
Include user profiles 242 according to library 240 and can also include vehicle profile 244.Traffic state data library 270 includes traffic in the past
Situation 272 and current traffic condition 274.Traffic state data library 270 can also include by interactive remote information processing system
The traffic condition 276 of 200 predictions determined.Condition of road surface database 280 includes static condition of road surface 282 and can also include
Dynamic road situation 284.Weather condition data library 290 includes past weather situation 292, current weather condition 294 and prediction
Weather conditions 296.
Analytical unit 230 may include any suitable calculating equipment and/or computer for executing functions described herein
Executable software instruction.Analytical unit 230 can be by hardware elements such as one or more servers 140 and/or can
To be realized by the access of one or more servers 140 and the software instruction executed.
GIS-Geographic Information System (GIS) 232 can be designed to acquisition, storage, manipulation, analysis, management and/or be presented in ground
Manage any suitable calculating equipment and/or computer executable software instruction of data.(GIS-Geographic Information System is also sometimes referred to as
GIS-Geographic Information System.) GIS 232 can refer to by specialized hardware and/or by the software that one or more servers 140 execute
It enables to realize.Additionally or alternatively, third party GIS, such as Google can be used in interactive remote information processing system 200
Map, Ersi etc..
User profiles database 240, transportation database 250, device location database 260, traffic state data library 270,
Condition of road surface database 280 and weather condition data library 290 can be any organized information aggregate, whether stored in
On single tangible device or on multiple tangible devices.User profiles database 240, transportation database 250, device location data
Library 260, traffic state data library 270, condition of road surface database 280 and weather condition data library 290 can be for example stored in
Store up equipment 150 in it is one or more in.
User profiles database 240 stores multiple user profiles 242, and each user profiles 242 include by interactive remote
Information processing system 200 is used to determine the preference driving behavior of user and/or the information of preference route.Each user profiles 242
It can demographic information for example including age and gender etc., known physical condition, the level of driving experience, behavior
Type, risk adverse circumstance and to the tendency and preference of travel speed etc., to the response of various traffic conditions and to not
The sharp reaction with the driving condition being potentially dangerous, the common common occupant of driver are (for example, user is individually to drive, still
With people known to child, old man, physical condition etc.), driving record, the insurance coverage of current type and interactive
Teleprocessing system 200 is determined as preference driving behavior to user and the relevant other factors of preference route.Each use
Family profile 242 may include directly from the received information of user and/or the letter determined by interactive remote information processing system 200
It ceases (for example, the driving behavior for the user that the real time position based on the remote equipment 120 by user is inferred to).
User profiles database 240 can also store the vehicle used with the user of interactive remote information processing system 200
Associated multiple vehicle profiles 244.Each vehicle profile 244 may include by interactive remote information processing system 200
For determining that user is driving and the letter of preference driving behavior and/or preference route when vehicle 244 associated vehicle of profile
Breath.Each vehicle profile 244 may include the attribute of vehicle associated with vehicle profile 244, such as height of car, vehicle class
Type (for example, car, open car, truck etc.), vehicle fuel demand (for example, diesel oil and diesel fuel grades, gasoline and gasolines,
Liquefied natural gas etc.), vehicle service life, vehicle weight, system of vehicle transmission type (automatic, manually), vehicle transmission system (for example,
Two-wheel drive, four-wheel drive, a11wheel drive etc.), vehicle service/maintenance history, required vehicle maintenance is (for example, with vehicle
The related information of known problem) etc..Vehicle profile 244 can be determined based on information from the user.For example, user can lead to
The problem of answer interactive remote information processing system 200 is proposed via mobile telephone application, online table etc. is crossed to mention
For for the information in vehicle profile 244.User can input about by another (or multiple) user in the same family
The information of one or more vehicles used.
Transportation database 250 includes the data set of present road comprising for adjusting the opportunity available (example of traffic flow
Such as, parallel access way, fast, disengaging ring road etc.).The data set of present road can be from government organs, Private Traffic
Tissue etc. is managed to receive.
Device location database 260 includes the information for indicating the real time position of at least some remote equipments 120.Remote equipment
120 real time position can by remote equipment and/or network 130 for example using global positioning system (GPS), Network Recognition,
Cellular network triangulation etc. determines.In addition, device location database 260 can by automatically and/or be repeatedly updated with
Information including indicating real-time (or near real-time) dynamic position of at least some remote equipments 120.
Traffic state data library 270 includes the information about past traffic condition 272 and current traffic condition 274.Traffic
Situation 272 and 274 may include the traffic of the point and/or section for the road for including in such as transportation database 250 speed and
The volume of traffic, the composition (for example, long-haul tractor trailer, car, the trailer of light-duty container, motorcycle etc.) of the traffic, position of collision,
Property and severity of collision etc..Date of each data point related with traffic condition 272 and 274 and the data point and when
Between store together.Past traffic condition 272 and current traffic condition 274 can be based on from third party source (for example, above-mentioned traffic
Data 170) information determine and/or the real time position by interactive remote information processing system 200 based on remote equipment 120
To determine (for example, the speed of remote equipment 120, whether remote equipment 120 frequently stops etc.).It is As described in detail below that
Sample, interactive remote information processing system 200 can also use traffic condition 272 and current traffic condition 274 (and volume in the past
External information) it determines and the traffic condition 276 (the collision possibility including estimation) of Storage Estimation, and by the traffic shape of prediction
Condition 276 is stored in traffic state data library 270.
Condition of road surface database 280 includes the static condition of road surface 282 for the road segments for including in transportation database 250.
Static condition of road surface 282 may include such as applicable traffic rules (for example, rate limitation, permission type of vehicle), road
Road type (for example, multilane interstate highway, double-lane road, bicycle road county road road etc.), overpass height, position are (for example, husky
Desert, mountain area, suburb, city etc.), surface composition (for example, pitch, concrete, gravel composite material etc.), night illumination amount etc..
Static condition of road surface 282 can be based on from third party source by interactive remote information processing system 200 (for example, above-mentioned road
Status data 180) received information and/or feedback from the user to be to determine.
Condition of road surface database 280 can also include the dynamic road shape for the road segments for including in transportation database 250
Condition 284.Dynamic road situation 284 may include such as surface appearance (for example, wet, accumulated snow, freezing, dry),
Surface temperature, surface maintenance situation (for example, maintenance appropriate or imperfect maintenance), construction activity (for example, build movable position and
Property), road or road segments close period of (for example, for accomplishing) etc..Interactive remote information processing system 200 can
To be based on the information received from sensor (for example, weather and/or environmental sensor), from third party source (for example, retouching above
The condition of road surface data 180 and/or weather data 190 stated) information, the feedback from the user etc. that receive determine dynamic road
Road situation 284.It can be stored together with the date of the data point with the related data point of dynamic road situation 284.In addition, with dynamic
The related data point of state condition of road surface 284 can be stored together with the time of the data point (for example, if dynamic road situation
284 are not suitable for a whole day).
Weather condition data library 290 includes and may influence past traffic condition 272, may influence Current traffic shape
Condition 274 or the related any information of any atmosphere, environment, geography and/or the geological state that future traffic condition may be influenced, packet
Include the weather conditions 296 of past weather situation 292, current weather condition 294 and prediction.Weather conditions may include for example
The weather parameters of temperature, precipitation, visibility, wind speed and direction etc..The weather conditions 296 of prediction can be by interactive remote information
Processing system 200 is determined or is received from weather forecast system or third party.The weather conditions 296 of prediction can be use
The location-specific prediction per minute that the MinuteCast system of AccuWeather generates.(MINUTECAST is
The service mark of AccuWeather register of company).In addition, weather condition data library 290 may include geographical situation (for example, edge
The possible dazzle of estimated route), environmental aspect (for example, the known habitat of the animals such as bird or it is expected that traveling road
Diameter), geological state (for example, past earthquake location and following possible earthquake location) etc..
Current traffic condition 274, dynamic road situation 284 and/or current weather condition 294 can also be based on from remotely setting
Standby 120, vehicle and/or the personal information received determine.In one example, interactive remote information processing system 200
Can receive and explain from individual point observation (for example, image and/or description), and determine current traffic condition 274,
In conjunction with information (and the position of user from these point observations when dynamic road situation 284 and/or current weather condition 294
It sets).Point observation can be exported by user for transmission to interactive remote information processing system 200 (for example, using remote equipment 120
Graphic user interface).Additionally or alternatively, interactive remote information processing system 200 can collect from social media,
The point observation in other publicly available sources and/or private third party source.In another example, interactive remote information processing
System 200 can receive and explain the information from vehicle, and determine current traffic condition 274, dynamic road situation 284
And/or the information (and position of vehicle) is combined when current weather condition 294.Information from vehicle may include from vehicle
The sensing data of weather sensor (for example, external temperature and precipitation rain fall sensor) is sensed from vehicle weather condition of road surface
The biography of device (for example, being used by vehicle anti-lock brake system with determination is wet or the sensor of the road or vehicle of accumulated snow traction)
Sensor data, the sensing data from other vehicle sensors (for example, video camera), instruction car light open (instruction on daytime
Visibility reduces) information, instruction vehicle windscreen wipers open the information of (instruction rain) etc..Information from vehicle can be by vehicle-mounted
Remote equipment 120, remote equipment 120 that (for example, via bluetooth) is matched with vehicle etc. are output to interactive remote information processing
System 200.
Interactive remote information processing system 200 is determined based on the user personality in the user profiles for being stored in user
The optimum drive route of the user.Three routes referring to fig. 3 are described into the system.
Fig. 3 shows three potential routes from departure place 310 to destination 390, including route 301, route 302 and road
Line 303.Each in route 301,302 and 303 is by analytical unit 230 based on the information benefit for being stored in transportation database 250
It is determined with GIS 232.
As shown in figure 3, the length of route 301 is 24.9 miles, the running time of estimation (is determined, such as by analytical unit 230
It is lower described) it is 9 minutes 1 hour.The length of route 302 is 22.1 miles, and the running time of estimation is 2 minutes 1 hour.Route
303 length is 22.3 miles, and the running time of estimation is 1 hour.Other than length l and the running time t of estimation, interaction
Formula teleprocessing system 200 also determines other attributes of every potential route, including what is for example travelled on every route
Potential security risk (or on the contrary, safety s) and the driving experience along every route other factors, such as it is possible
Congestion c, route whether beautiful scenery (whether landscape p), route illuminate good (brightness b) etc. at night.For example, analytical unit
230 can be simplified to each of these attributes numerical value shown in table 1：
| Route | 301 | 302 | 303 | n |
| Length | l301 | l301 | l301 | ln |
| Running time | t301 | t301 | t301 | tn |
| Safety | s301 | s301 | s301 | sn |
| Brightness | b301 | b301 | b301 | bn |
| Congestion | c301 | c301 | c301 | cn |
| Landscape | p301 | p301 | p301 | pn |
| ... | ... | ... | ... | ... |
| ... | ... | ... | ... | ... |
Table 1
Then X mathematically can be expressed as by whether particular course n is attractive to specific usern, such as 1 institute of equation
Show：
Xn=Aln+Btn+Csn+Dbn+Ecn+Fpn…
Wherein A, B, C, D, E, F etc. are indicated relative to other attributes, user to the coefficient of the preference of each attribute.Change speech
It, ratio B: A indicate when determination best travel route user how estimation running time tnWith distance lnBetween weigh.Class
As, ratio B: C indicate user how estimation running time tnWith safety coefficient snIt is weighed between (that is, risk aversion of user)
Weighing apparatus, ratio B: D indicate user how estimation running time tnWell (there is high b in illuminationn) road on travel between
Tradeoff, ratio B: E indicate user how estimation running time tnWith congestion cn(for example, to what extent preference is long by user
Time Continuous drive rather than the short time drive) between weigh, ratio B: F indicate user how estimation running time tnWith wind
Scape pnBetween tradeoff (for example, user whether and much degree on preference longer time and beautiful scenery driving) etc..
Analytical unit 230 determines each attribute l of every potential routen、cnDeng.Because some attributes may be with the time
And change, so remote equipment 120 can be used via graphic user interface to user in interactive remote information processing system 200
It provides for specifying the departure time function (alternatively, alternatively, the arrival time of estimation).Certainly, interactive remote information
Current time can be used as the default departure time in processing system 200.
In order to determine the distance l of every routen, analytical unit 230 simply draws from departure place 310 to destination 390
Route and the lineal measure of the route is measured using GIS 232.
If the departure time is current time, it is possible that analytical unit 230 is generally based on the determination of current traffic condition 274
Congestion cn.However, since congestion may change in user along during route running, analytical unit 230 can be extraly
Based on during the similar period (for example, holiday or eekday) in the similar period, 1 year in the similar time, one week in one day
Past traffic condition 272 on the route determines possible congestion cn, wherein during this period, past weather situation 292 with work as
Preceding weather conditions 294 and/or prediction weather conditions 294 (depending on user be expected when along the route this section travel) class
Seemingly, dynamic road situation 284 is similar with current dynamic road situation 284 etc..In addition, analytical unit 230 can be based on other
When similar in the similar time, one week in one day of similar road (that is, the road with similar static condition of road surface 282)
The past traffic condition 272 during similar period (for example, holiday or eekday) in phase, 1 year determines possible congestion
cn, wherein during this period, past weather situation 292 and the weather conditions 294 of current weather condition 294 and/or prediction (are depended on
It is expected and when travels along this section of the route in user) similar, dynamic road situation 284 and current dynamic road situation
284 is similar etc..
Analytical unit 230 determines the running time t of estimation based on the length of route and the Vehicle Speed of estimationn,
The possible congestion c that the Vehicle Speed and analytical unit 230 of the estimation determine as described abovenIt is inversely proportional.
Similar to the determination to possible congestion, analytical unit 230 also determines every road based on traffic condition 272 in the past
The safety s of linen.However, in this case, analytical unit 230 collided (past traffic condition based on the past on route
272 a subset) determine the safety s of routen.For example, if collision in the past is the similar time, one week at one day
During the similar date (such as holiday or eekday) in similar period, 1 year (wherein, during this period, past weather situation 292 and
Current weather condition 294 and/or prediction weather conditions 294 (depending on user be expected when along the route this section travel)
It is similar, dynamic road situation 284 is similar with current dynamic road situation 284 etc.), then passing by collision can be given more
Weight.In addition, analytical unit 230 be also based on similar road one day similar time, one week similar period, one
During the similar date (such as holiday or eekday) in year (wherein, during this period, past weather situation 292 and current weather shape
Condition 294 and/or prediction weather conditions 294 (depending on user be expected when along the route this section travel) it is similar, dynamic
Condition of road surface 284 is similar with current dynamic road situation 284 etc.) past collision determine the safety s of routen。
Whenever analytical unit 230 has determined the possible congestion c of every routen, estimation running time tnAnd safety
snWhen, these calculated results can be stored as the traffic condition 276 of prediction by analytical unit 230.In the time that these are calculated
After section, analytical unit 230 can be by the traffic condition 276 of these predictions and actual traffic condition (that is, current traffic condition
274 or in the past traffic condition 272, depend on when to be compared) and user compare along the actual travel time of the route
Compared with.Depending on the accuracy of calculating, analytical unit 230 can be further improved the correlation for carrying out these calculating.
Analytical unit 230 can be determined based on the static condition of road surface 282 of every section of route route landscape how (that is,
Landscape pn) and/or the illumination of route it is mostly good (that is, brightness bn).Due to landscape pnIt may be only relevant, and brightness on daytime
bnIt is only relevant at night, therefore analytical unit 230 can change these factors based on the time in one day.It is alternative
Ground, analytical unit 230 can change the user preference (for example, coefficient D and E) about these attributes based on the time in one day.
By analytical unit 230 be used to determine user preference driving behavior and/or preference route user preference (for example,
For determining coefficient A, B, C, D, E, F described above etc. and/or ratio B:A,B:C,B:D,B:E,B:The information of F etc.) it deposits
Storage is in user profiles 242 associated with the user.Analytical unit 230 can be for example based on the information directly received from user
(for example, by provide a user via graphic user interface input information function, the function using remote equipment 120 via
Graphic user interface provides) determine these user preferences.For example, graphic user interface can with direct access inquiry customer problem,
These problems are about user relative to road length lnTo landscape pnAnd/or safety snPreference, user whether preference night shine
Bright good road is (that is, low-light level bn), user illuminates good road etc. when whether preference night rains.
In addition, user profiles 242 can store the information for being directly applied for certain routes.Referring back to Fig. 3, for example, father
Mother may not allow new driver along one section of traveling of route 301.Therefore, interactive remote information processing system 200 can be with
The specified function that avoid certain roads or road segment segment is provided to user (for example, new driver) or another user (for example, parent)
Energy.Therefore, the route of those roads is avoided in only output by analytical unit 230.
In addition, more multichannels can be presented to user in analytical unit 230 during providing optimization route for user
Line selection item (for example, as shown in Figure 3), allows user to select one in route, and be inferred to according to the user's choice opposite
In the attribute of the non-selected route of user, the attribute of route selected by user's more preference.Further, since analytical unit 230 can visit
Ask the information for indicating the real time position (being stored in device location database 260) of remote equipment 120 associated with the user, because
This analytical unit 230 can be inferred that the attribute for the route that its selection of user preference follows, even if user's selection is along certain route row
It sails and deviates without the route from 200 request optimization of interactive remote information processing system, or selection by interactive remote information
The route etc. that processing system 200 is suggested.
In addition, analytical unit 230 can be inferred that user has the user preference similar with other users, wherein described
Other users have the user profiles similar with the user profile criteria being stored in user profiles 242 associated with the user
Standard and/or the vehicle similar with the vehicle profile criteria being stored in vehicle profile 242 associated with the vehicle of the user
Profile criteria, wherein the user profile criteria be, for example, the age, gender, physical condition, driving experience, driving record, insurance,
Common common occupant (for example, children, the elderly, people with known physical condition etc.), the vehicle profile criteria is for example
It is type of vehicle (for example, car, open car, truck etc.), vehicle fuel demand (for example, diesel oil and diesel fuel grades, gasoline and vapour
Oily grade, liquefied natural gas etc.), vehicle service life, vehicle weight, system of vehicle transmission type (automatic, manually), vehicle transmission system
(for example, two-wheel drive, four-wheel drive, a11wheel drive etc.), vehicle service/maintenance history, and/or required vehicle maintenance (example
Such as, information related with the known problem of vehicle).
For different types of travelling, the preference driving behavior of user and/or preference route may change.For example, for
Relatively long distance is (that is, higher ln) travelling, user may preference have more landscape pnRoute.In another example, when
When user's skipper's particular vehicle, user may safer route (the i.e. higher safety s of preferencen), have less highway
Route and/or route etc. with lower speed limitation.Therefore, analytical unit 230 can be determined travels for specific type
Particular user preferences, such as by inquiry user about the user preference travelled to specific type particular problem, based on use
The route of family selection and/or user infer these certain preferences etc. for the run over route of specific type travelling, and
The optimization route for the travelling of these types is determined according to these certain preferences.
The preference driving behavior of user and/or preference route are potentially based on unfavorable weather conditions and change.For example, working as
The weather conditions 296 of preceding weather conditions 294 and/or prediction show user by unfavorable weather conditions downward driving, Yong Huke
Energy preference is safer (that is, higher safety sn) route, the route with less highway, and/or have lower speed limit
The route of system.The certain preference of user possibly even changes according to specific weather conditions.For example, in current weather condition 294
And/or the weather conditions 296 of prediction show user will in the rain when driving, user may preference there is more high brightness bnRoad
Line.Therefore, analytical unit 230 can determine the particular user preferences of the travelling under unfavorable weather conditions, such as pass through inquiry
User is about the particular problem of the user preference under adverse weather situation, the route based on user's selection and/or user unfavorable
The route that crosses of weather conditions downlink infer these specific preferences etc., and determine travelling under adverse weather situation
Optimize route.
The real time position that analytical unit 230 is also based on remote equipment 120 associated with the user is inclined to learn user
Good variation route.For example, then decision deviates as shown in figure 4, user may select route 301 when leaving departure place 310
Route 301, but follow route 404 (although there is no route 404 in interactive remote information processing system 200).Then, if
User is carrying out similar travelling and route 301 is rendered as option, then analytical unit 230 can also make route 404
For the running time t of option and such as estimation301And t404It presents together, user is allowed more fully to decide whether to follow road
Line 301, or route 404 is selected again.
Analytical unit 230 can also be directly according to the vehicle being stored in vehicle profile 242 associated with the vehicle of user
Profile criteria determines optimization route.For example, as shown in Figure 3 and Figure 4, one section of route 302 may be to certain type of vehicle (examples
Such as truck) and/or more than constant weight vehicle close.In another example, route 301 may include for being more than certain
Too low highway cross-over bridge for the vehicle of height.Therefore, analytical unit 230 can be configured as suggestion alternative route and keep away
Issue the inaccessiable road of vehicle of particular vehicle profile criteria.
Fig. 5 be show an exemplary embodiment of the present invention for determining that one or more items optimize routes for user
And these routes are exported to the flow chart of the process 500 of user.
In step 502, user (and associated user profiles 242) are identified.If remote equipment 120 is such as intelligence
The personal device of energy phone etc., then analytical unit 230 identifies user based on user associated with smart machine 120.For example,
User profiles 242 associated with the user may include EIC equipment identification code associated with remote equipment 120.However, some
In the case of, remote equipment 120 may be used by multiple users (for example, vehicle-mounted or independent navigation system).In these cases,
Interactive remote information processing system 200 can provide a user using the graphic user interface of remote equipment 120 and identify use
The function at family.
In some embodiments, vehicle (and associated vehicle profile 244) can be identified in step 504.For example,
If remote equipment 120 is onboard navigation system, remote equipment 120 can be associated with vehicle profile associated with vehicle
244.In other cases, interactive remote information processing system 200 can be provided a user by using remote equipment 120
The function that graphic user interface selects one in the vehicle of user to identify vehicle.
For example, the function of destination is selected by providing a user using the graphic user interface of remote equipment 120,
Destination is received from user in step 506.
In step 508, departure place is determined.It is interactive if the remote equipment 120 of location aware is used in user
The current location of the remote equipment 120 can be used as default departure place in teleprocessing system 200.However, in addition, handing over
Mutual formula teleprocessing system 200, which can be provided a user using the graphic user interface of remote equipment 120, identifies difference
The function of departure place.
In step 510, the departure time is determined.Current time work can be used in interactive remote information processing system 200
To default the departure time.However, in addition, interactive remote information processing system 200 can be provided a user using remote equipment
120 (for example, being selected via graphic user interface) identify the function of different departure times or arrival time.
In step 512, potential route from origin to destination is determined.Interactive remote information processing system 200
GIS 232 and the information being stored in transportation database 250 can be used to determine any amount of potential route.
In the step 514, one or more items can be excluded based on the information being stored in user profiles 242 can energy circuit
Line.For example, as described above, user profiles 242 can indicate that user does not like (or not being allowed to) along certain roads or road
Sections of road.Therefore, interactive remote information processing system 200 can exclude include user like or the road that must avoid or
The route of road segment segment.
In step 516, based on the information being stored in vehicle profile 244, can exclude one or more items can energy circuit
Line.For example, as described above, vehicle profile 244 can indicate that vehicle is prohibited to travel along certain roads or road segment segment.Cause
This, interactive remote information processing system 200 can exclude include these roads or road segment segment route.
In step 518, calculate every route attribute (for example, length l, the running time t of estimation, safety s, can
Can congestion c, landscape p, brightness b etc.), as described above.
It in step 520, can (for example, congestion c, safety s, estimation be when driving by some attributes of every route
Between t etc.) be stored as the traffic condition 276 of prediction.
In step 522, interactive remote information processing system 200 determines that one or more items optimize route.Passing through will
The attribute of the every potential route calculated in step 518 and the user being stored in user profiles 242 associated with the user
Preference determines one or more item optimization routes compared to relatively.Additionally or alternatively, it is also based on associated with vehicle
Vehicle profile 244 determines optimization route.
One or more items optimization route is exported to user in step 524.For example, analytical unit 230 can be by one
Item or more optimization route is output to network 130, for transmission to associated with user and identify in user profiles 242
Remote equipment 120.
Process 500 can be executed by analytical unit 230.In some embodiments, analytical unit 230 may include individual
Hardware device and/or software module, some functions being each configured as in implementation procedure 400.For example, analytical unit 230 can
With include the GIS 232 for determining potential route in step 512, in step 518 calculate every potential route attribute friendship
Logical analytical unit and the optimization alignment analysis unit for determining one or more item optimization routes in step 524.In other realities
Apply in mode, analytical unit 230 may include can execute more than one function in above-mentioned function single hardware device and/
Or software module.
Fig. 6 is the process for showing the process 600 for updating user profiles 242 of an exemplary embodiment of the present invention
Figure.
If exporting more than one route to user in step 524, user can receive in step 602 to route
One of selection.
It can determine user's 604 based on the real time position of remote equipment 120 associated with the user in step 604
Actual travel path.
In step 606, it is determined based on the attribute of route selected by user in step 602 and/or in step 604
User's actual travel route update user profiles 606.
Fig. 7 is to show the process according to an exemplary embodiment of the present invention updated for calculating the correlation of route attribute
700 flow chart.
As described above, in step 520, it can be by some attribute (examples of the every potential route calculated in step 518
Such as, congestion c, safety s, running time t of estimation etc.) it is stored as the traffic condition 276 of prediction.In a step 702, that is determined
A little routes at those times during actual attribute (for example, congestion c, safety s, running time t of estimation etc.).
In step 704, by the actual attribute of these routes with calculate and store in step 520 in step 518
Attribute compare.
In step 706, it is updated based on the actual attribute of route those of determining in step 702 in step 518
The middle correlation for calculating route attribute.
Although those skilled in the art are after having read the disclosure by easy reason foregoing illustrate preferred embodiment
Solution, may be implemented other embodiments within the scope of the invention.Disclosure to certain amount of hardware component, software module etc. is
It is illustrative rather than restrictive.For example, above-detailed five databases (user profiles databases 240, road number
According to library 250, device location database 260, traffic state data library 270, condition of road surface database 280 and weather condition data library
290), and the information being possibly comprised in each database is described.Those skilled in the art are it will be recognized that above-mentioned
Information can store in any way, as long as information can be accessed by one or more servers 140.In other words, on
Stating can store in different databases including the information in a database, and above-mentioned all information can store single
Database is medium.Therefore, the present invention should be interpreted to be defined solely by the appended claims.
Claims (20)
1. a kind of interactive remote information processing system, including：
The database of multiple user profiles is stored, each of described user profiles include the user preference of user；And
Analytical unit is used for：
The a plurality of potential route of identification from origin to destination；
Calculate the attribute of every potential route in the potential route；
The attribute of every potential route in the potential route is compared with the user preference；
Pass through attribute based on every potential route in the potential route and user preference associated with the user
Compare and selects one or more potential routes in the potential route for the one or more items optimizations of user identification
Route；And
The one or more item optimization routes are output to communication network remotely to set for transmission to associated with the user
It is standby.
2. system according to claim 1, wherein the attribute of every potential route in the potential route includes may
Congestion or safety.
3. system according to claim 1 further includes：
Condition of road surface database stores dynamic road situation；
Wherein, the analytical unit be at least partially based on the dynamic road situation to calculate in the potential route every can
The attribute of energy route.
4. system according to claim 1 further includes：
Weather condition data library stores the weather conditions of current weather condition and/or prediction,
Wherein, the analytical unit is at least partially based on the weather conditions of the current weather condition and/or prediction to calculate
State the attribute of every potential route in potential route.
5. system according to claim 1, wherein at least one of described user preference indicate the user how
Weigh between safety and running time and/or path length.
6. system according to claim 1, wherein the category of the database purchase vehicle associated with the user
Property, and the analytical unit also identifies the optimization route based on the attribute of vehicle associated with the user.
7. system according to claim 1, wherein the analytical unit provides selection described one or more to the user
One function in a plurality of optimization route, and the use is updated based on one or more attributes of selected route
Family preference.
8. a kind of identify that one or more items optimize the method for route for user, including：
The a plurality of potential route of identification from origin to destination；
Calculate the attribute of every potential route in the potential route；
By the user in the attribute and user profiles associated with the user of every potential route in the potential route
Preference is compared；
Pass through attribute based on every potential route in the potential route and user preference associated with the user
Compare and selects one or more potential routes in the potential route for the one or more items optimizations of user identification
Route；And
The one or more item optimization routes are output to communication network remotely to set for transmission to associated with the user
It is standby.
9. according to the method described in claim 8, wherein, the attribute of every potential route in the potential route includes may
Congestion or safety.
10. according to the method described in claim 8, wherein, be at least partially based on dynamic road situation calculate it is described can energy circuit
The attribute of every potential route in line.
11. according to the method described in claim 8, wherein, the day for being at least partially based on current weather condition and/or prediction is vaporous
Condition calculates the attribute of every potential route in the potential route.
12. according to the method described in claim 8, wherein, how at least one of described user preference indicates the user
Weigh between safety and running time and/or path length.
13. according to the method described in claim 8, wherein, also being identified based on the attribute of vehicle associated with the user
The one or more items optimize route.
14. according to the method described in claim 8, further including：
One function in the selection one or more item optimization routes is provided to the user；And
The user preference is updated based on the attribute of selected route.
15. a kind of non-transitory computer-readable storage media (CRSM), is stored with instruction, described instruction is executed by processor
When, so that computer：
The a plurality of potential route of identification from origin to destination；
Calculate the attribute of every potential route in the potential route；
By the user in the attribute and user profiles associated with the user of every potential route in the potential route
Preference is compared；
Pass through attribute based on every potential route in the potential route and user preference associated with the user
Compare and selects one or more potential routes in the potential route for the one or more items optimizations of user identification
Route；And
The one or more item optimization routes are output to communication network remotely to set for transmission to associated with the user
It is standby.
16. CRSM according to claim 15, wherein the attribute of every potential route in the potential route includes can
The congestion or safety of energy.
17. CRSM according to claim 15, wherein be at least partially based on dynamic road situation, current weather condition or
The weather conditions of prediction calculate the attribute of every potential route in the potential route.
18. CRSM according to claim 15, wherein how at least one of described user preference indicates the user
Weigh between safety and running time and/or path length.
19. CRSM according to claim 15, wherein also identified based on the attribute of vehicle associated with the user
The one or more items optimize route.
20. CRSM according to claim 15, wherein described instruction also makes the computer：
One function in the selection one or more item optimization routes is provided to the user；And
The user preference is updated based on the attribute of selected route.
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| CA3007475A1 (en) | 2017-06-15 |
| BR112018011772A2 (en) | 2018-12-04 |
| EP3387384A4 (en) | 2019-07-10 |
| JP2019501385A (en) | 2019-01-17 |
| RU2018121960A3 (en) | 2020-01-13 |
| MX2018007057A (en) | 2018-11-09 |
| EP3387384B1 (en) | 2022-11-30 |
| AU2019275601A1 (en) | 2020-01-16 |
| RU2018121960A (en) | 2020-01-13 |
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